About this course

Entry requirements

A First or strong Upper Second class honours degree, or the overseas equivalent, in computer science, or a joint degree with at least 50% computer science content.
Applicants with a minimum of three years relevant computer science industrial experience and a first honours degree at the level of a first class or good 2(i) class, or its overseas equivalent, may also be considered for admission.
All students are required to be proficient in spoken and written English. In order to be accepted onto an MSc programme in the School of Computer Science applicants need to provide evidence of having achieved the required level in one of the following english language qualifications: IELTS score of 6.5 minimum (with no less than 6 in any of the sub-categories), Internet based TOEFL 100ib(w24) Listening 17, Reading 18, Speaking 20. Cambridge Proficiency Grade 'C'. Pearson English overall 59 (writing 51)

Months of entry

February

Course content

The Information management pathway addresses both the technical challenges of information capture and usage from big data, and the need for its effective and efficient management and analysis within business, scientific, educational, entertainment and organisational contexts. This MSc pathway will examine the entire information management life cycle, including data strategy, management, design and warehousing, data analytics and information governance. In addition to the need to work with huge volumes of data, the pathway will also address multi-modality, including un- and semi-structured data, image and video data, spatial and temporal data, etc.

The pathway consists of two (compulsory) units from the Data Engineering and IT governance ACS theme, three additional compulsory units on various aspects of information management, and one optional unit covering various application areas (such as decision support, text mining, optimisation).